Data Science and Intelligent Systems
Concepts and techniques from data science and intelligent computing are being rapidly integrated into many areas of Electrical and Computer Engineering (ECE), in particular by exploiting new developments in machine learning. Areas such as computer and robot vision, computational imaging, and biometric recognition greatly benefit from recent advances in deep learning. Computational biology and computational neuroscience rely on advanced data science methods to process the vast amounts of information produced by novel sensing modalities, with the ultimate goal of delivering personalized medicine. Transportation and energy networks, as well as the emerging Internet of Things (IoT) infrastructure, heavily rely on intelligent, distributed computing to manage various forms of congestion and other anomalies. To support such intensive data processing, specialized hardware, software, and computer architecture are essential. Research activities in Data Science and Intelligent Systems span a wide range of topics, and also complement and enhance the ECE Department’s synergies with the Division of Systems Engineering, the Hariri Institute, and the Faculty of Computing and Data Sciences. A vibrant organizational unit in this research area is the Information and Data Sciences (IDS) group, which brings together faculty and students with interests in the sensing, communicating, and processing of various forms of information. We invite you to explore our research activities, meet our teams, and read about our success stories by visiting the faculty, lab and research center pages below.
Affiliated Faculty
John Baillieul, Kayhan Batmanghelich, Calin Belta, Margrit Betke, Christos Cassandras, David Castañón, Ashok Cutkosky, Emiliano Dall’Anese, Robert M. Gray, Prakash Ishwar, W. Clem Karl, Janusz Konrad, Brian Kulis, Wenchao Li, Thomas Little, Hamid Nawab, Bobak Nazer, Eshed Ohn-Bar, Alex Olshevsky, Ioannis Paschalidis, Venkatesh Saligrama, Stan Sclaroff, Archana Venkataraman, Tianyu Wang
Affiliated Labs
- AI Photonics Lab
- Control of Discrete Event Systems
- Data Science and Machine Learning
- Dependable Computing
- Information and Data Sciences
- Multimedia Communications
- Network Optimization and Control
- Visual Information Processing
Affiliated Research Centers
- Center for Computational Science
- Center for Information and Systems Engineering
- Computational Neuroscience
- Data Science Initiative
- Division of Systems Engineering
- Lighting Enabled Systems and Applications NSF ERC
- Rafik B. Hariri Institute for Computing and Computational Science & Engineering
- Rajen Kilachand Center for Integrated Life Sciences & Engineering
In the news:
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March 21, 2024
Professor Wenchao Li Earns NSF CAREER Award
Professor Li’s project aims to overcome fundamental challenges in Imitation Learning for AI systems. [ More ]
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January 31, 2024
High Performance From BU ECE At SC23
BU ECE researchers, both faculty and students, made a major impact at SC23, the premier conference in high-performance computing. [ More ]
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January 22, 2024
A Bright New Light: Tianyu Wang Joins ECE
BU ECE’s newest Assistant Professor believes in the power of convergent research to spark novel technological advances. [ More ]
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January 3, 2024
Professor Venkataraman Provides Nuanced Perspective On Medical Applications of A.I.
Professor Archana Venkataraman added her experienced voice to the ongoing public conversation about the transformative potential of A.I. in a recent article for Newsweek. [ More ]
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December 4, 2023
Associate Professor Archana Venkataraman Selected As Computing & Data Sciences Faculty Fellow
The BU CDS Faculty Fellows Program is geared towards fostering a community of scholars reflecting this same convergent disciplinary approach, with a particular focus on supporting recent recruits to the BU faculty whose research shows significant promise. [ More ]